2009
DOI: 10.1038/jhh.2009.18
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Blood pressure recording bias during a period when the Quality and Outcomes Framework was introduced

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Cited by 25 publications
(21 citation statements)
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“…The percentage meeting targets are usually derived from one blood pressure measurement which could overestimate or underestimate the number of HCP due to the variability of blood pressure levels. 29 However, our findings show that the percentage of patients classified a HCP are consistent with other studies analysing QOF data. 1930 …”
Section: Discussionsupporting
confidence: 92%
“…The percentage meeting targets are usually derived from one blood pressure measurement which could overestimate or underestimate the number of HCP due to the variability of blood pressure levels. 29 However, our findings show that the percentage of patients classified a HCP are consistent with other studies analysing QOF data. 1930 …”
Section: Discussionsupporting
confidence: 92%
“…Third, measurements of biological variables are subject to error, particularly in the case of BP, which is measured using instruments of variable accuracy and is prone to digit bias in recording [23]. Also, since 2004, UK practices have had financial incentives for controlling BP and there is evidence to show that recordings of systolic BP have been biased downwards for patients with values just above the target levels (target levels for diabetic patients were 145 mmHg from 2004/2005 to 2010/2011 and 140 mmHg from 2011/2012) [24]. Fourth, some risk factor measurements might be missing not at random (MNAR), as our analyses assume, although multiple imputation offers some protection against biased estimates [25,26].…”
Section: Discussionmentioning
confidence: 99%
“…Carey et al (2009) discover a reporting bias in clinical indicators, noting that patients in the U.K. QOF are significantly more likely to narrowly meet than narrowly miss a P4P performance target. Shen et al (2003) observe that performance-based contracting leads to patient selection.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Clinical measures could be misreported in borderline cases in order to meet performance targets (Carey et al 2009). Furthermore, patient selection may occur: providers could select patients based on their probability to meet P4P quality measures (e.g., Shen 2003, Rosenthal & Frank 2006Casalino & Elster 2007), a practice that could result in diminished access to care (Epstein et al 2004) and growing health disparities for already disadvantaged patients (Hong et al 2010).…”
Section: Introductionmentioning
confidence: 99%